From 1e2c26a0744ca5f6d778307392a6b3920071319d Mon Sep 17 00:00:00 2001
From: Piotr <pplonski86@gmail.com>
Date: Mon, 3 Jun 2024 13:47:18 +0200
Subject: [PATCH] fix accuracy metric for lightgbm (#728)

---
 requirements.txt           | 2 +-
 supervised/utils/metric.py | 6 ------
 2 files changed, 1 insertion(+), 7 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index aabba841..99b58526 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -14,7 +14,7 @@ seaborn>=0.11.1
 wordcloud>=1.8.1
 category_encoders>=2.2.2
 optuna>=2.7.0
-mljar-scikit-plot>=0.3.8
+mljar-scikit-plot>=0.3.11
 markdown
 typing-extensions
 ipython
diff --git a/supervised/utils/metric.py b/supervised/utils/metric.py
index 4fd0e6c4..96138f87 100644
--- a/supervised/utils/metric.py
+++ b/supervised/utils/metric.py
@@ -225,12 +225,6 @@ def lightgbm_eval_metric_accuracy(preds, dtrain):
     target = dtrain.get_label()
     weight = dtrain.get_weight()
 
-    unique_targets = np.unique(target)
-    if len(unique_targets) > 2:
-        cols = len(unique_targets)
-        rows = int(preds.shape[0] / len(unique_targets))
-        preds = np.reshape(preds, (rows, cols), order="F")
-
     return "accuracy", -negative_accuracy(target, preds, weight), True